NTL

Dataset statistics

Number of variables	18
Number of observations	26458
Missing cells	192211
Missing cells (%)	40.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.6 MiB
Average record size in memory	144.0 B

Variable types

Numeric	10
Categorical	8

Alerts

`2013` is highly correlated with `2014` and 6 other fields	High correlation
`2014` is highly correlated with `2013` and 6 other fields	High correlation
`2015` is highly correlated with `2013` and 6 other fields	High correlation
`2016` is highly correlated with `2013` and 6 other fields	High correlation
`2017` is highly correlated with `2013` and 6 other fields	High correlation
`2018` is highly correlated with `2013` and 6 other fields	High correlation
`2019` is highly correlated with `2013` and 6 other fields	High correlation
`2020` is highly correlated with `2013` and 6 other fields	High correlation
`LABEL2020` is highly correlated with `LABEL2013` and 6 other fields	High correlation
`LABEL2017` is highly correlated with `LABEL2013` and 6 other fields	High correlation
`LABEL2016` is highly correlated with `LABEL2013` and 6 other fields	High correlation
`LABEL2018` is highly correlated with `LABEL2013` and 6 other fields	High correlation
`LABEL2019` is highly correlated with `LABEL2013` and 6 other fields	High correlation
`LABEL2014` is highly correlated with `LABEL2013` and 6 other fields	High correlation
`LABEL2013` is highly correlated with `LABEL2014` and 6 other fields	High correlation
`LABEL2015` is highly correlated with `LABEL2013` and 6 other fields	High correlation
`LABEL2013` has 24111 (91.1%) missing values	Missing
`LABEL2014` has 24081 (91.0%) missing values	Missing
`LABEL2015` has 24080 (91.0%) missing values	Missing
`LABEL2016` has 24080 (91.0%) missing values	Missing
`LABEL2017` has 24051 (90.9%) missing values	Missing
`LABEL2018` has 23977 (90.6%) missing values	Missing
`LABEL2019` has 23938 (90.5%) missing values	Missing
`LABEL2020` has 23893 (90.3%) missing values	Missing

Reproduction

Analysis started	2022-09-22 15:21:08.859755
Analysis finished	2022-09-22 15:21:24.246598
Duration	15.39 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

LAT
Real number (ℝ_≥0)

Distinct	192
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.40020996

Minimum	16.9375
Maximum	17.8925
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	16.9375
5-th percentile	17.0325
Q1	17.2175
median	17.3975
Q3	17.5775
95-th percentile	17.7825
Maximum	17.8925
Range	0.955
Interquartile range (IQR)	0.36

Descriptive statistics

Standard deviation	0.2316771372
Coefficient of variation (CV)	0.01331461734
Kurtosis	-0.9851021179
Mean	17.40020996
Median Absolute Deviation (MAD)	0.18
Skewness	0.05136507924
Sum	460374.755
Variance	0.05367429588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.4775	195	0.7%
17.4975	195	0.7%
17.5075	194	0.7%
17.4925	194	0.7%
17.5025	194	0.7%
17.3125	193	0.7%
17.4875	193	0.7%
17.3075	193	0.7%
17.3175	192	0.7%
17.4725	192	0.7%
Other values (182)	24523	92.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16.9375	3	< 0.1%
16.9425	6	< 0.1%
16.9475	13	< 0.1%
16.9525	17	0.1%
16.9575	22	0.1%
16.9625	29	0.1%
16.9675	41	0.2%
16.9725	54	0.2%
16.9775	56	0.2%
16.9825	67	0.3%

Value	Count	Frequency (%)
17.8925	3	< 0.1%
17.8875	9	< 0.1%
17.8825	10	< 0.1%
17.8775	11	< 0.1%
17.8725	18	0.1%
17.8675	28	0.1%
17.8625	31	0.1%
17.8575	36	0.1%
17.8525	41	0.2%
17.8475	42	0.2%

LON
Real number (ℝ_≥0)

Distinct	208
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	78.47750121

Minimum	78.0075
Maximum	79.0425
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	78.0075
5-th percentile	78.1125
Q1	78.2775
median	78.4775
Q3	78.6675
95-th percentile	78.8775
Maximum	79.0425
Range	1.035
Interquartile range (IQR)	0.39

Descriptive statistics

Standard deviation	0.2377368942
Coefficient of variation (CV)	0.003029363709
Kurtosis	-0.9561032173
Mean	78.47750121
Median Absolute Deviation (MAD)	0.195
Skewness	0.1112356494
Sum	2076357.727
Variance	0.05651883084
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.5225	180	0.7%
78.5475	179	0.7%
78.5175	179	0.7%
78.5125	179	0.7%
78.4775	179	0.7%
78.48251	178	0.7%
78.5425	178	0.7%
78.4625	178	0.7%
78.4675	177	0.7%
78.4725	177	0.7%
Other values (198)	24674	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
78.0075	3	< 0.1%
78.0125	4	< 0.1%
78.0175	6	< 0.1%
78.0225	9	< 0.1%
78.0275	12	< 0.1%
78.0325	15	0.1%
78.03751	19	0.1%
78.0425	21	0.1%
78.0475	27	0.1%
78.05251	45	0.2%

Value	Count	Frequency (%)
79.0425	1	< 0.1%
79.03751	3	< 0.1%
79.0325	5	< 0.1%
79.0275	7	< 0.1%
79.0225	11	< 0.1%
79.0175	11	< 0.1%
79.0125	11	< 0.1%
79.0075	12	< 0.1%
79.0025	12	< 0.1%
78.99751	14	0.1%

2013
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25267
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.308734992

Minimum	0.05208
Maximum	166.17392
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.05208
5-th percentile	0.2298895
Q1	0.507775
median	1.019525
Q3	2.60521
95-th percentile	25.5592715
Maximum	166.17392
Range	166.12184
Interquartile range (IQR)	2.097435

Descriptive statistics

Standard deviation	10.0570163
Coefficient of variation (CV)	2.334099525
Kurtosis	26.64752601
Mean	4.308734992
Median Absolute Deviation (MAD)	0.64625
Skewness	4.518544099
Sum	114000.5104
Variance	101.1435768
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3334	4	< 0.1%
1.06443	3	< 0.1%
1.39878	3	< 0.1%
0.28785	3	< 0.1%
1.14314	3	< 0.1%
0.21542	3	< 0.1%
0.84824	3	< 0.1%
0.41984	3	< 0.1%
0.27392	3	< 0.1%
0.42666	3	< 0.1%
Other values (25257)	26427	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.05208	1	< 0.1%
0.0603	1	< 0.1%
0.06205	1	< 0.1%
0.06269	1	< 0.1%
0.06287	1	< 0.1%
0.06302	1	< 0.1%
0.06458	1	< 0.1%
0.06536	1	< 0.1%
0.06652	1	< 0.1%
0.06953	1	< 0.1%

Value	Count	Frequency (%)
166.17392	1	< 0.1%
130.30817	1	< 0.1%
126.14901	1	< 0.1%
114.92827	1	< 0.1%
113.97998	1	< 0.1%
109.39117	1	< 0.1%
108.54757	1	< 0.1%
107.59411	1	< 0.1%
102.97959	1	< 0.1%
102.22334	1	< 0.1%

2014
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25458
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.15077443

Minimum	0.12183
Maximum	139.58324
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.12183
5-th percentile	0.325474
Q1	0.649865
median	1.234595
Q3	3.04043
95-th percentile	30.8670555
Maximum	139.58324
Range	139.46141
Interquartile range (IQR)	2.390565

Descriptive statistics

Standard deviation	11.79323074
Coefficient of variation (CV)	2.289603417
Kurtosis	21.708856
Mean	5.15077443
Median Absolute Deviation (MAD)	0.740895
Skewness	4.232259071
Sum	136279.1899
Variance	139.0802912
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.58698	4	< 0.1%
1.01801	4	< 0.1%
0.59993	4	< 0.1%
0.91926	3	< 0.1%
0.4555	3	< 0.1%
1.15567	3	< 0.1%
0.43066	3	< 0.1%
0.85364	3	< 0.1%
0.92887	3	< 0.1%
0.72919	3	< 0.1%
Other values (25448)	26425	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.12183	1	< 0.1%
0.12401	1	< 0.1%
0.12426	1	< 0.1%
0.1275	1	< 0.1%
0.12812	1	< 0.1%
0.12994	1	< 0.1%
0.13286	1	< 0.1%
0.133	1	< 0.1%
0.13372	1	< 0.1%
0.13394	1	< 0.1%

Value	Count	Frequency (%)
139.58324	1	< 0.1%
121.87604	1	< 0.1%
121.02483	1	< 0.1%
120.88934	1	< 0.1%
118.58189	1	< 0.1%
118.07672	1	< 0.1%
113.61907	1	< 0.1%
113.57784	1	< 0.1%
113.56596	1	< 0.1%
112.34839	1	< 0.1%

2015
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25428
Distinct (%)	96.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.974485438

Minimum	0.12
Maximum	136.38487
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.12
5-th percentile	0.3472595
Q1	0.6490275
median	1.199135
Q3	3.024545
95-th percentile	29.2776835
Maximum	136.38487
Range	136.26487
Interquartile range (IQR)	2.3755175

Descriptive statistics

Standard deviation	11.19135714
Coefficient of variation (CV)	2.249751714
Kurtosis	23.40962102
Mean	4.974485438
Median Absolute Deviation (MAD)	0.69983
Skewness	4.308113632
Sum	131614.9357
Variance	125.2464747
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.46784	3	< 0.1%
0.45053	3	< 0.1%
0.83616	3	< 0.1%
0.92041	3	< 0.1%
0.47084	3	< 0.1%
0.37808	3	< 0.1%
1.42295	3	< 0.1%
0.80306	3	< 0.1%
1.2805	3	< 0.1%
0.61852	3	< 0.1%
Other values (25418)	26428	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.12	1	< 0.1%
0.13574	1	< 0.1%
0.14558	1	< 0.1%
0.14635	1	< 0.1%
0.15203	1	< 0.1%
0.15505	1	< 0.1%
0.15828	1	< 0.1%
0.15918	1	< 0.1%
0.15922	1	< 0.1%
0.16235	1	< 0.1%

Value	Count	Frequency (%)
136.38487	1	< 0.1%
130.38432	1	< 0.1%
125.63212	1	< 0.1%
122.70094	1	< 0.1%
120.75438	1	< 0.1%
120.5778	1	< 0.1%
118.53212	1	< 0.1%
118.18078	1	< 0.1%
116.77387	1	< 0.1%
116.40775	1	< 0.1%

2016
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25446
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.238069117

Minimum	0.06581
Maximum	146.73721
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.06581
5-th percentile	0.270404
Q1	0.5684425
median	1.12263
Q3	2.97593
95-th percentile	31.54036
Maximum	146.73721
Range	146.6714
Interquartile range (IQR)	2.4074875

Descriptive statistics

Standard deviation	12.33840974
Coefficient of variation (CV)	2.355526333
Kurtosis	24.39708522
Mean	5.238069117
Median Absolute Deviation (MAD)	0.702765
Skewness	4.399235269
Sum	138588.8327
Variance	152.2363548
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.55219	5	< 0.1%
0.57809	4	< 0.1%
0.54131	3	< 0.1%
0.62317	3	< 0.1%
0.57595	3	< 0.1%
0.37314	3	< 0.1%
0.37112	3	< 0.1%
0.27335	3	< 0.1%
0.48049	3	< 0.1%
1.38925	3	< 0.1%
Other values (25436)	26425	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.06581	1	< 0.1%
0.06761	1	< 0.1%
0.07428	1	< 0.1%
0.07501	1	< 0.1%
0.07737	1	< 0.1%
0.07966	1	< 0.1%
0.08278	1	< 0.1%
0.08347	1	< 0.1%
0.08654	1	< 0.1%
0.08887	1	< 0.1%

Value	Count	Frequency (%)
146.73721	1	< 0.1%
143.60315	1	< 0.1%
135.64122	1	< 0.1%
134.23099	1	< 0.1%
133.40598	1	< 0.1%
132.41974	1	< 0.1%
131.70036	1	< 0.1%
128.4715	1	< 0.1%
124.49681	1	< 0.1%
124.29898	1	< 0.1%

2017
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25428
Distinct (%)	96.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.415846734

Minimum	0.26693
Maximum	132.48093
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.26693
5-th percentile	0.4708905
Q1	0.7983475
median	1.400305
Q3	3.432405
95-th percentile	30.8972325
Maximum	132.48093
Range	132.214
Interquartile range (IQR)	2.6340575

Descriptive statistics

Standard deviation	11.65232079
Coefficient of variation (CV)	2.151523365
Kurtosis	22.6284539
Mean	5.415846734
Median Absolute Deviation (MAD)	0.761935
Skewness	4.230513971
Sum	143292.4729
Variance	135.7765799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.68144	5	< 0.1%
0.72965	3	< 0.1%
0.77094	3	< 0.1%
0.42323	3	< 0.1%
0.69925	3	< 0.1%
0.53484	3	< 0.1%
0.76102	3	< 0.1%
1.93494	3	< 0.1%
0.70593	3	< 0.1%
0.98332	3	< 0.1%
Other values (25418)	26426	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.26693	1	< 0.1%
0.26742	1	< 0.1%
0.26955	1	< 0.1%
0.26981	1	< 0.1%
0.27504	1	< 0.1%
0.27581	1	< 0.1%
0.2764	1	< 0.1%
0.27697	1	< 0.1%
0.27857	1	< 0.1%
0.27906	1	< 0.1%

Value	Count	Frequency (%)
132.48093	1	< 0.1%
128.55891	1	< 0.1%
128.26335	1	< 0.1%
121.84939	1	< 0.1%
120.57587	1	< 0.1%
120.52349	1	< 0.1%
119.51733	1	< 0.1%
114.16228	1	< 0.1%
113.99107	1	< 0.1%
113.04339	1	< 0.1%

2018
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25500
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.00496534

Minimum	0.28841
Maximum	134.52455
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.28841
5-th percentile	0.517144
Q1	0.857955
median	1.477525
Q3	3.5283725
95-th percentile	25.755979
Maximum	134.52455
Range	134.23614
Interquartile range (IQR)	2.6704175

Descriptive statistics

Standard deviation	10.11081819
Coefficient of variation (CV)	2.020157484
Kurtosis	26.49696401
Mean	5.00496534
Median Absolute Deviation (MAD)	0.78819
Skewness	4.426609412
Sum	132421.373
Variance	102.2286445
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.77619	4	< 0.1%
1.07188	4	< 0.1%
1.40731	4	< 0.1%
0.99713	4	< 0.1%
0.92851	3	< 0.1%
0.85893	3	< 0.1%
0.40656	3	< 0.1%
0.76325	3	< 0.1%
0.824	3	< 0.1%
0.92886	3	< 0.1%
Other values (25490)	26424	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.28841	1	< 0.1%
0.2905	1	< 0.1%
0.29332	1	< 0.1%
0.29382	1	< 0.1%
0.29488	1	< 0.1%
0.29563	1	< 0.1%
0.29716	1	< 0.1%
0.30543	1	< 0.1%
0.30619	1	< 0.1%
0.30753	1	< 0.1%

Value	Count	Frequency (%)
134.52455	1	< 0.1%
128.17357	1	< 0.1%
127.68691	1	< 0.1%
126.46239	1	< 0.1%
114.87891	1	< 0.1%
113.72036	1	< 0.1%
113.57533	1	< 0.1%
112.89073	1	< 0.1%
112.41536	1	< 0.1%
111.31226	1	< 0.1%

2019
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25679
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.622901714

Minimum	0.26474
Maximum	115.83806
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.26474
5-th percentile	0.5767465
Q1	0.99589
median	1.74988
Q3	4.27217
95-th percentile	28.357114
Maximum	115.83806
Range	115.57332
Interquartile range (IQR)	3.27628

Descriptive statistics

Standard deviation	10.63871867
Coefficient of variation (CV)	1.892033546
Kurtosis	19.69356439
Mean	5.622901714
Median Absolute Deviation (MAD)	0.96381
Skewness	3.932800325
Sum	148770.7335
Variance	113.1823349
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.85528	4	< 0.1%
0.80214	4	< 0.1%
1.03132	3	< 0.1%
0.85534	3	< 0.1%
0.9209	3	< 0.1%
0.57443	3	< 0.1%
1.21649	3	< 0.1%
0.99227	3	< 0.1%
1.49843	3	< 0.1%
0.96442	3	< 0.1%
Other values (25669)	26426	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.26474	1	< 0.1%
0.28282	1	< 0.1%
0.28507	1	< 0.1%
0.28613	1	< 0.1%
0.29194	1	< 0.1%
0.29269	1	< 0.1%
0.29274	1	< 0.1%
0.29513	1	< 0.1%
0.29558	1	< 0.1%
0.29627	1	< 0.1%

Value	Count	Frequency (%)
115.83806	1	< 0.1%
113.08657	1	< 0.1%
107.58233	1	< 0.1%
106.77599	1	< 0.1%
104.56614	1	< 0.1%
104.19608	1	< 0.1%
102.70374	1	< 0.1%
102.20859	1	< 0.1%
101.59339	1	< 0.1%
98.67194	1	< 0.1%

2020
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	25669
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.438204924

Minimum	0.32418
Maximum	106.10519
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	206.8 KiB

Quantile statistics

Minimum	0.32418
5-th percentile	0.6042885
Q1	1.0038125
median	1.6962
Q3	4.1373525
95-th percentile	27.1759345
Maximum	106.10519
Range	105.78101
Interquartile range (IQR)	3.13354

Descriptive statistics

Standard deviation	10.05724696
Coefficient of variation (CV)	1.849368882
Kurtosis	18.32798733
Mean	5.438204924
Median Absolute Deviation (MAD)	0.89431
Skewness	3.798516052
Sum	143884.0259
Variance	101.1482165
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.71475	4	< 0.1%
0.77663	3	< 0.1%
0.71654	3	< 0.1%
0.74675	3	< 0.1%
0.83929	3	< 0.1%
1.07527	3	< 0.1%
0.9253	3	< 0.1%
1.11207	3	< 0.1%
0.77891	3	< 0.1%
1.28205	3	< 0.1%
Other values (25659)	26427	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.32418	1	< 0.1%
0.33262	1	< 0.1%
0.3361	1	< 0.1%
0.33732	1	< 0.1%
0.33912	1	< 0.1%
0.3416	1	< 0.1%
0.34335	1	< 0.1%
0.34581	1	< 0.1%
0.34584	1	< 0.1%
0.3467	1	< 0.1%

Value	Count	Frequency (%)
106.10519	1	< 0.1%
100.3603	1	< 0.1%
98.42007	1	< 0.1%
98.35732	1	< 0.1%
96.51579	1	< 0.1%
96.30296	1	< 0.1%
96.20709	1	< 0.1%
95.39072	1	< 0.1%
95.01247	1	< 0.1%
94.61446	1	< 0.1%

LABEL2013
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24111
Missing (%)	91.1%
Memory size	206.8 KiB

Urban	2320
Water	27

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11735
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2320	8.8%
Water	27	0.1%
(Missing)	24111	91.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2320	98.8%
water	27	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	2347	20.0%
a	2347	20.0%
U	2320	19.8%
b	2320	19.8%
n	2320	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9388	80.0%
Uppercase Letter	2347	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2347	25.0%
a	2347	25.0%
b	2320	24.7%
n	2320	24.7%
t	27	0.3%
e	27	0.3%

Uppercase Letter

Value	Count	Frequency (%)
U	2320	98.8%
W	27	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11735	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2347	20.0%
a	2347	20.0%
U	2320	19.8%
b	2320	19.8%
n	2320	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11735	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2347	20.0%
a	2347	20.0%
U	2320	19.8%
b	2320	19.8%
n	2320	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

LABEL2014
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24081
Missing (%)	91.0%
Memory size	206.8 KiB

Urban	2350
Water	27

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11885
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2350	8.9%
Water	27	0.1%
(Missing)	24081	91.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2350	98.9%
water	27	1.1%

Most occurring characters

Value	Count	Frequency (%)
r	2377	20.0%
a	2377	20.0%
U	2350	19.8%
b	2350	19.8%
n	2350	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9508	80.0%
Uppercase Letter	2377	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2377	25.0%
a	2377	25.0%
b	2350	24.7%
n	2350	24.7%
t	27	0.3%
e	27	0.3%

Uppercase Letter

Value	Count	Frequency (%)
U	2350	98.9%
W	27	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11885	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2377	20.0%
a	2377	20.0%
U	2350	19.8%
b	2350	19.8%
n	2350	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11885	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2377	20.0%
a	2377	20.0%
U	2350	19.8%
b	2350	19.8%
n	2350	19.8%
W	27	0.2%
t	27	0.2%
e	27	0.2%

LABEL2015
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24080
Missing (%)	91.0%
Memory size	206.8 KiB

Urban	2356
Water	22

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11890
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2356	8.9%
Water	22	0.1%
(Missing)	24080	91.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2356	99.1%
water	22	0.9%

Most occurring characters

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2356	19.8%
b	2356	19.8%
n	2356	19.8%
W	22	0.2%
t	22	0.2%
e	22	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9512	80.0%
Uppercase Letter	2378	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2378	25.0%
a	2378	25.0%
b	2356	24.8%
n	2356	24.8%
t	22	0.2%
e	22	0.2%

Uppercase Letter

Value	Count	Frequency (%)
U	2356	99.1%
W	22	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11890	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2356	19.8%
b	2356	19.8%
n	2356	19.8%
W	22	0.2%
t	22	0.2%
e	22	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2356	19.8%
b	2356	19.8%
n	2356	19.8%
W	22	0.2%
t	22	0.2%
e	22	0.2%

LABEL2016
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24080
Missing (%)	91.0%
Memory size	206.8 KiB

Urban	2360
Water	18

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11890
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2360	8.9%
Water	18	0.1%
(Missing)	24080	91.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2360	99.2%
water	18	0.8%

Most occurring characters

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2360	19.8%
b	2360	19.8%
n	2360	19.8%
W	18	0.2%
t	18	0.2%
e	18	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9512	80.0%
Uppercase Letter	2378	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2378	25.0%
a	2378	25.0%
b	2360	24.8%
n	2360	24.8%
t	18	0.2%
e	18	0.2%

Uppercase Letter

Value	Count	Frequency (%)
U	2360	99.2%
W	18	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11890	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2360	19.8%
b	2360	19.8%
n	2360	19.8%
W	18	0.2%
t	18	0.2%
e	18	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2378	20.0%
a	2378	20.0%
U	2360	19.8%
b	2360	19.8%
n	2360	19.8%
W	18	0.2%
t	18	0.2%
e	18	0.2%

LABEL2017
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	24051
Missing (%)	90.9%
Memory size	206.8 KiB

Urban	2371
Water	36

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12035
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2371	9.0%
Water	36	0.1%
(Missing)	24051	90.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2371	98.5%
water	36	1.5%

Most occurring characters

Value	Count	Frequency (%)
r	2407	20.0%
a	2407	20.0%
U	2371	19.7%
b	2371	19.7%
n	2371	19.7%
W	36	0.3%
t	36	0.3%
e	36	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9628	80.0%
Uppercase Letter	2407	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2407	25.0%
a	2407	25.0%
b	2371	24.6%
n	2371	24.6%
t	36	0.4%
e	36	0.4%

Uppercase Letter

Value	Count	Frequency (%)
U	2371	98.5%
W	36	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12035	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2407	20.0%
a	2407	20.0%
U	2371	19.7%
b	2371	19.7%
n	2371	19.7%
W	36	0.3%
t	36	0.3%
e	36	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12035	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2407	20.0%
a	2407	20.0%
U	2371	19.7%
b	2371	19.7%
n	2371	19.7%
W	36	0.3%
t	36	0.3%
e	36	0.3%

LABEL2018
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	23977
Missing (%)	90.6%
Memory size	206.8 KiB

Urban	2432
Water	49

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12405
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2432	9.2%
Water	49	0.2%
(Missing)	23977	90.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2432	98.0%
water	49	2.0%

Most occurring characters

Value	Count	Frequency (%)
r	2481	20.0%
a	2481	20.0%
U	2432	19.6%
b	2432	19.6%
n	2432	19.6%
W	49	0.4%
t	49	0.4%
e	49	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9924	80.0%
Uppercase Letter	2481	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2481	25.0%
a	2481	25.0%
b	2432	24.5%
n	2432	24.5%
t	49	0.5%
e	49	0.5%

Uppercase Letter

Value	Count	Frequency (%)
U	2432	98.0%
W	49	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12405	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2481	20.0%
a	2481	20.0%
U	2432	19.6%
b	2432	19.6%
n	2432	19.6%
W	49	0.4%
t	49	0.4%
e	49	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12405	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2481	20.0%
a	2481	20.0%
U	2432	19.6%
b	2432	19.6%
n	2432	19.6%
W	49	0.4%
t	49	0.4%
e	49	0.4%

LABEL2019
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	23938
Missing (%)	90.5%
Memory size	206.8 KiB

Urban	2485
Water	35

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12600
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2485	9.4%
Water	35	0.1%
(Missing)	23938	90.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2485	98.6%
water	35	1.4%

Most occurring characters

Value	Count	Frequency (%)
r	2520	20.0%
a	2520	20.0%
U	2485	19.7%
b	2485	19.7%
n	2485	19.7%
W	35	0.3%
t	35	0.3%
e	35	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10080	80.0%
Uppercase Letter	2520	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2520	25.0%
a	2520	25.0%
b	2485	24.7%
n	2485	24.7%
t	35	0.3%
e	35	0.3%

Uppercase Letter

Value	Count	Frequency (%)
U	2485	98.6%
W	35	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12600	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2520	20.0%
a	2520	20.0%
U	2485	19.7%
b	2485	19.7%
n	2485	19.7%
W	35	0.3%
t	35	0.3%
e	35	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2520	20.0%
a	2520	20.0%
U	2485	19.7%
b	2485	19.7%
n	2485	19.7%
W	35	0.3%
t	35	0.3%
e	35	0.3%

LABEL2020
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	23893
Missing (%)	90.3%
Memory size	206.8 KiB

Urban	2550
Water	15

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12825
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2550	9.6%
Water	15	0.1%
(Missing)	23893	90.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2550	99.4%
water	15	0.6%

Most occurring characters

Value	Count	Frequency (%)
r	2565	20.0%
a	2565	20.0%
U	2550	19.9%
b	2550	19.9%
n	2550	19.9%
W	15	0.1%
t	15	0.1%
e	15	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10260	80.0%
Uppercase Letter	2565	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2565	25.0%
a	2565	25.0%
b	2550	24.9%
n	2550	24.9%
t	15	0.1%
e	15	0.1%

Uppercase Letter

Value	Count	Frequency (%)
U	2550	99.4%
W	15	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12825	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2565	20.0%
a	2565	20.0%
U	2550	19.9%
b	2550	19.9%
n	2550	19.9%
W	15	0.1%
t	15	0.1%
e	15	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12825	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2565	20.0%
a	2565	20.0%
U	2550	19.9%
b	2550	19.9%
n	2550	19.9%
W	15	0.1%
t	15	0.1%
e	15	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	LAT	LON	2013	2014	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
0	17.3225	78.0075	0.65122	0.92704	0.57998	0.47446	0.62941	0.82097	0.67507	0.84478	None	None	None	None	None	None	None	None
1	17.3275	78.0075	0.65791	0.86068	0.43480	0.38613	0.56419	0.70946	0.63069	0.66205	None	None	None	None	None	None	None	None
2	17.3325	78.0075	0.39388	0.59987	0.32511	0.30432	0.49552	0.47952	0.54666	0.55795	None	None	None	None	None	None	None	None
3	17.3225	78.0125	0.35730	0.48497	0.34925	0.34415	0.60315	0.66558	0.64437	0.66512	None	None	None	None	None	None	None	None
4	17.3275	78.0125	0.43708	0.67196	0.41583	0.35932	0.64627	0.62949	0.66898	0.59453	None	None	None	None	None	None	None	None
5	17.3325	78.0125	0.64316	0.62818	0.45995	0.42825	0.67332	0.54201	0.59412	0.58083	None	None	None	None	None	None	None	None
6	17.3375	78.0125	0.44530	0.44251	0.29875	0.31846	0.54180	0.46420	0.54660	0.53525	None	None	None	None	None	None	None	None
7	17.3125	78.0175	0.27963	0.40680	0.44209	0.36639	0.59386	0.60607	0.76101	0.91053	None	None	None	None	None	None	None	None
8	17.3175	78.0175	0.27976	0.40235	0.35537	0.37037	0.61741	0.62685	0.73133	0.82290	None	None	None	None	None	None	None	None
9	17.3225	78.0175	0.37352	0.48424	0.35126	0.35367	0.66200	0.66391	0.72978	0.72779	None	None	None	None	None	None	None	None

Last rows

	LAT	LON	2013	2014	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
26448	17.5175	79.02750	0.20910	0.23597	0.30446	0.16096	0.35768	0.40643	0.55716	0.64827	None	None	None	None	None	None	None	None
26449	17.4925	79.03250	0.17314	0.20494	0.31723	0.23197	0.38249	0.40607	0.59590	0.63860	None	None	None	None	None	None	None	None
26450	17.4975	79.03250	0.19341	0.23143	0.35985	0.18863	0.38135	0.42045	0.53592	0.63415	None	None	None	None	None	None	None	None
26451	17.5025	79.03250	0.35564	0.38562	0.52725	0.33020	0.55622	0.62645	0.91613	0.88535	None	None	None	None	None	None	None	None
26452	17.5075	79.03250	0.52867	0.50794	0.53979	0.37267	0.59058	0.65987	0.97091	1.13857	None	None	None	None	None	None	None	None
26453	17.5125	79.03250	0.29821	0.29615	0.34417	0.18223	0.40643	0.45374	0.60313	0.79152	None	None	None	None	None	None	None	None
26454	17.4975	79.03751	0.17744	0.21722	0.32396	0.22869	0.36123	0.42129	0.48699	0.57725	None	None	None	None	None	None	None	None
26455	17.5025	79.03751	0.18988	0.26408	0.32759	0.25484	0.40226	0.42668	0.59939	0.62796	None	None	None	None	None	None	None	None
26456	17.5075	79.03751	0.23061	0.27015	0.34606	0.22163	0.39920	0.43923	0.58736	0.76583	None	None	None	None	None	None	None	None
26457	17.5075	79.04250	0.15262	0.21383	0.30907	0.15685	0.35320	0.40734	0.54482	0.60583	None	None	None	None	None	None	None	None

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter